Composable Architectures: Why Now and What’s Next
Composable architectures are driving IT’s evolution by enabling greater flexibility, scalability and resilience
What Is Intelligent Feature Management? Why Is It Essential?
Intelligent feature management is a disciplined approach to identifying, creating, managing, and utilizing enriched data assets
AI and Hyper-Personalization for the Insurance Industry
Artificial intelligence impacts personalization for insurance through predictive analytics that can be used to tailor insurance offerings to individual policyholders
For Asia’s Insurance Sector, It’s Digitize or Die
Asia’s insurance sector is at the front line of new era of wealth generation - the winners will be the insurers that have their digital transformation “house" in order
How to Increase Claims Processing Automation – 5 Questions to Ask
Automating claims processing right can help you reduce costs, improve outcomes, and assure patient and stakeholder satisfaction - here's how to think about it
How to Improve Patient Centricity for Commercial Health Plans
The advantages of a holistic, member-centric approach to healthcare are clear - as are the impacts of the failure to achieve member centricity
Business Simulation for Insurance: Best Practices and Getting Started
Business simulation can provide both the experimentation and the guardrails helping insurance companies explore multiple paths to success
Claims Automation for Health Plans: Transformation with a Small “t”
By focusing on transformation with a small “t” that addresses measurable performance gaps, health plans and administrators can use claims automation to control costs and risk
Explainable Machine Learning for Probability of Default Calculations
How the FICO Platform can enable explainable machine learning models for more effective PD calculations
How Transaction Analytics Transform Lending Speed and Results
Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending
Improving IRB and RWA Calculations with Machine Learning
Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.
Does the EU Framework for Responsible AI Go Far Enough?
Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability
Reducing Health Care FWA Losses - Find Your Focus
A key component of stopping fraud, waste and abuse is to focus on your most productive targets: Who or what should be the focus of your payment integrity program?
How Avis Europe Uses Optimization to Make Real-Time Decisions
A case study in Business Intelligence shows some of the benefits Avis achieved using optimization to solve supply chain issues and make real-time decisions.
How AI and Machine Learning Can Fight Health Care Fraud
AI and machine learning have become popular concepts in payment integrity. But how can they help reduce your losses to health care fraud, waste and abuse?
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